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# Tokenspeed-kernel Plugin System
> **Status: experimental.** The plugin contract — entry-point group name,
> `register()` signature, `KernelSpec` fields, selection priority semantics,
> and the `tokenspeed_kernel.plugins` Python API — may change without
> backwards-compatibility guarantees while we shake the design out. Pin to
> an exact `tokenspeed-kernel` version in your plugin's dependencies.
This subpackage lets third-party packages register kernel implementations
into the global `KernelRegistry` without modifying `tokenspeed-kernel`
itself.
## How it works
1. Your plugin package exposes a `register()` function that calls
`tokenspeed_kernel.registry.register_kernel(...)` (or
`KernelRegistry.get().register(...)`) for each kernel it provides.
2. Your `pyproject.toml` advertises that function under the
`tokenspeed_kernel.plugins` entry-point group.
3. The host application (engine, benchmark, notebook, etc.) calls
`tokenspeed_kernel.plugins.discover_plugins()` once at startup, after
built-in kernels have been imported. Discovery walks the entry-point
group and invokes each `register()`.
Loading is **fully explicit** — importing `tokenspeed_kernel` or
`tokenspeed_kernel.plugins` does **not** trigger discovery on its own.
## Example plugin
A minimal out-of-tree package that contributes a custom decode-attention
kernel for NVIDIA Hopper.
```
my-kernels-plugin/
├── pyproject.toml
└── my_kernels_plugin/
└── __init__.py
```
`my_kernels_plugin/__init__.py`:
```python
import torch
from tokenspeed_kernel.platform import ArchVersion, CapabilityRequirement
from tokenspeed_kernel.signature import format_signatures
from tokenspeed_kernel.registry import register_kernel
def register() -> None:
"""Entry point invoked by tokenspeed_kernel.plugins.discover_plugins()."""
@register_kernel(
"attention",
"decode",
solution="my_custom",
signatures=format_signatures(
("q", "k_cache", "v_cache"), "dense", {torch.bfloat16}
),
capability=CapabilityRequirement(
vendors=frozenset({"nvidia"}),
min_arch_version=ArchVersion(9, 0),
),
# Built-in FlashInfer decode is priority 18; pick 19 to win selection.
priority=19,
)
def my_custom_attn_decode(q, kv_cache, page_table, seq_lens, **kwargs):
...
```
`pyproject.toml`:
```toml
[project]
name = "my-kernels-plugin"
version = "0.1.0"
# Pin tightly while the plugin contract is experimental.
dependencies = ["tokenspeed-kernel==<exact-version>"]
[project.entry-points."tokenspeed_kernel.plugins"]
my_plugin = "my_kernels_plugin:register"
```
Install and load:
```bash
pip install -e ./my-kernels-plugin
```
```python
import tokenspeed_kernel # registers built-in kernels
from tokenspeed_kernel.plugins import discover_plugins, list_plugins
discover_plugins()
print(list_plugins()) # -> [PluginInfo(name='my_plugin', ...)]
```
## Host-application integration
Engines and other long-running hosts should call `discover_plugins()`
exactly once at startup, after built-in kernel modules have been imported
(so plugins can override built-ins by registering at a higher priority).
```python
import tokenspeed_kernel # noqa: F401 -- registers built-ins
from tokenspeed_kernel.plugins import discover_plugins
discover_plugins()
```
For ad-hoc use (notebooks, scripts, tests), there is no need to use entry
points at all — call `register_kernel(...)` directly:
```python
import torch
from tokenspeed_kernel.signature import format_signatures
from tokenspeed_kernel.registry import register_kernel
@register_kernel(
"gemm",
"mm",
solution="experiment",
signatures=format_signatures(("a", "b"), "dense", {torch.bfloat16}),
priority=15,
)
def my_experimental_gemm(a, b, **kwargs):
...
```
## Disabling plugins
Plugins can be skipped without uninstalling them:
```bash
TOKENSPEED_KERNEL_DISABLE_PLUGINS="my_plugin,other_plugin" python ...
```
```python
from tokenspeed_kernel.plugins import disable_plugin, discover_plugins
disable_plugin("my_plugin")
discover_plugins()
```
The names refer to entry-point names (the left-hand side of the
`[project.entry-points."tokenspeed_kernel.plugins"]` table), not
distribution names.
## Inspection
```bash
python -m tokenspeed_kernel.plugins list
python -m tokenspeed_kernel.plugins info my_plugin
```
```python
from tokenspeed_kernel.plugins import list_plugins
for info in list_plugins():
print(info.name, info.version, info.kernel_names)
```
## Selection contract
- Priority is an integer in `[0, 20)`. Higher wins. The reference
implementation lives at `0`. Built-in optimized kernels typically sit at
`10``18`. Plugin authors who want to override a built-in should choose
a value strictly higher than the built-in they replace.
- `discover_plugins()` walks entry points in alphabetical order by
entry-point name. When two registrations land at the same priority for
the same `(family, mode)`, the warning is emitted and selection becomes
load-order-dependent — set explicit, distinct priorities to avoid this.
- A plugin whose `register()` raises does not crash discovery; a
`UserWarning` is emitted and other plugins continue loading.
## Failure modes worth knowing
- **No discovery call → no plugin kernels.** Forgetting to call
`discover_plugins()` is silent.
- **Plugin loaded before built-ins.** If you call `discover_plugins()`
before `import tokenspeed_kernel`, plugins that intend to override
built-ins will appear to win, but the built-in modules will be imported
later and may overwrite the plugin's slot. Always import
`tokenspeed_kernel` first.
- **Stale registry.** Calling `KernelRegistry.reset()` clears registered
kernels but leaves `_loaded_plugins` populated; re-discovery will skip
already-loaded plugins. Use `discover_plugins(force=True)` after a
reset.